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Am J Public Health. 1982 Dec;72(12):1336-44. doi: 10.2105/ajph.72.12.1336.
2
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Soc Sci Med. 1984;19(2):93-115. doi: 10.1016/0277-9536(84)90276-4.
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Mortality and unemployment: A critique of Brenner's time-series analysis.死亡率与失业率:对布伦纳时间序列分析的批判
Lancet. 1981 Sep 26;2(8248):675-9. doi: 10.1016/s0140-6736(81)91007-2.
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Social class mortality differentials: artefact, selection or life circumstances?社会阶层死亡率差异:人为现象、选择因素还是生活环境?
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Alcohol and suicide in Scandinavia.斯堪的纳维亚地区的酒精与自杀问题。
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Unemployment and mortality in Denmark, 1970-80.1970 - 1980年丹麦的失业与死亡率
Br Med J (Clin Res Ed). 1987 Oct 10;295(6603):879-84. doi: 10.1136/bmj.295.6603.879.
7
Unemployment and mortality: comparison of the 1971 and 1981 longitudinal study census samples.失业与死亡率:1971年和1981年纵向研究人口普查样本的比较
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Unemployment and mortality: further evidence from the OPCS Longitudinal Study 1971-81.失业与死亡率:来自1971 - 1981年英国人口普查与调查办公室纵向研究的进一步证据
Lancet. 1986 Feb 15;1(8477):365-7. doi: 10.1016/s0140-6736(86)92326-3.
9
Does unemployment cause the death rate peak in each business cycle? A multifactor model of death rate change.失业会导致每个商业周期中的死亡率峰值吗?死亡率变化的多因素模型。
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Assessing effects of confounding variables.
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从汇总数据中推导相对风险。2. 失业与自杀关系的应用。

Deriving relative risks from aggregate data. 2. An application to the relationship between unemployment and suicide.

作者信息

Norström T

机构信息

Swedish Institute for Social Research, University of Stockholm, Sweden.

出版信息

J Epidemiol Community Health. 1988 Dec;42(4):336-40. doi: 10.1136/jech.42.4.336.

DOI:10.1136/jech.42.4.336
PMID:3256575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1052762/
Abstract

In Part 1 of this study, the mathematical relations between micro and macro measures of effect were derived. The formulas thus obtained can be used for cross level comparisons of findings concerning the effect of some specific risk factor on, eg, mortality. The approach is illustrated by means of an empirical example relating to the association between unemployment and suicide. This relationship is estimated on micro data as well as on aggregate time series data. The findings from the two levels are fairly consistent.

摘要

在本研究的第一部分,推导了效应微观与宏观测量之间的数学关系。由此获得的公式可用于对某些特定风险因素对死亡率等影响的研究结果进行跨层次比较。通过一个关于失业与自杀之间关联的实证例子来说明该方法。这种关系在微观数据以及总体时间序列数据上进行了估计。两个层面的研究结果相当一致。